In this study, the antibacterial, antioxidant and cytotoxicity behaviour of silver ferrite nanoparticles (AgFeO2 NPs) synthesized through chemical and green routes were compared. Green synthesis (Bio) of AgFeO2 NPs were prepared by precipitation method using Amaranthus blitum leaves extract as a reducing agent. Chemical synthesis (Che) of AgFeO2 NPs was mediated by sodium borohydride as a reducing agent. [AgFeO2 (Bio)] NPs showed reduced size, better monodispersity and surface area compared to [AgFeO2 (Che)] NPs. The results showed that synthesized NPs have better antibacterial activity against E. coli than S. https://www.selleckchem.com/products/merbarone.html aureus. In addition, 250 μg of AgFeO2 (Bio) and (Che) NPs showed antioxidant ef?ciency of 98 and 86%. The results showed that [AgFeO2 (Bio)] NPs showed lower cytotoxicity [AgFeO2 (Che)] NPs against human human embryonic kidney (HEK 293) cells. These results suggest that [AgFeO2 (Bio)] NPs have improved physicochemical properties thereby they can be used as an effective biocatalytic material in biotechnology.A phenotypic screening of 12 industrial yeast strains and the well-studied laboratory strain CEN.PK113-7D at cultivation temperatures between 12 °C and 40 °C revealed significant differences in maximum growth rates and temperature tolerance. From those 12, two strains, one performing best at 12 °C and the other at 40 °C, plus the laboratory strain, were selected for further physiological characterization in well-controlled bioreactors. The strains were grown in anaerobic chemostats, at a fixed specific growth rate of 0.03 h-1 and sequential batch cultures at 12 °C, 30 °C, and 39 °C. We observed significant differences in biomass and ethanol yields on glucose, biomass protein and storage carbohydrate contents, and biomass yields on ATP between strains and cultivation temperatures. Increased temperature tolerance coincided with higher energetic efficiency of cell growth, indicating that temperature intolerance is a result of energy wasting processes, such as increased turnover of cellular components (e.g. proteins) due to temperature induced damage.[This corrects the article DOI 10.1016/j.mex.2020.100889.].The validation of analytical methods is of crucial importance in several fields of application. A new protocol for the validation of chromatographic methods has been proposed. The overall protocol is described in a parallel paper, where the case of a multi-targeted gas chromatography - mass spectrometry (GC-MS) method for the determination of androgens in human urine is in-depth discussed. The purpose of this paper is to report the details about the GC-MS separation and detection of the target analytes, and to provide the mathematical formulas needed to perform the validation of the principal parameters. Briefly, the validation protocol foresees the repetition of three calibration curves in three different days, providing a total amount of nine replicates. Such a structured design allows to use the same experiments to?perform a rigorous calibration study, by the evaluation of heteroscedasticity, comparison of several weights and linear/quadratic calibration curves.?determine several parameters which are traditionally computed from dedicated experiments, namely intra- and inter-day accuracy and precision, limit of detection, specificity, selectivity, ion abundance repeatability, and carry over.?Finally, few further experiments are necessary to evaluate the retention time repeatability, matrix effect and extraction recovery.We extend the Actor-Centred Power framework to consider dimensions beyond the life of community natural resource management partnership initiatives by examining social forestry partnership projects in Indonesia. We do this by examining how power constellations realign across the temporal phases that operationalize project partnerships. We propose a sequential power analysis framework that examines power in three parts. The framework first proposes a method for historicizing actors into their power background. Second, we present mode for examining the arrival of a partnership scheme, which we call the power delivery phase. Third, we highlight approaches for examining the way power relations are adjusted, whether reinforced or reconfigured, by introducing an approach for examining programmatic outcomes of social forestry partnership schemes. This article thus provides broadly applicable but targeted guide for the researchers collecting data and seeking to make sense of power relations on community forest partnership schemes in various contexts. This framework is particularly useful for analysing equity and justice dimensions by highlighting who benefits and who loses.?Sequential Power Analysis (SPA) methodology is rooted in interest based and historical power framework.?SPA is consisted of three parts power background, power delivery, and power adjustment?SPA framing provides a protocol for researchers to collect data.Evidence accumulation clustering (EAC) is an ensemble clustering algorithm that can cluster data for arbitrary shapes and numbers of clusters. Here, we present a variant of EAC in which we aimed to better cluster data with a large number of features, many of which may be uninformative. Our new method builds on the existing EAC algorithm by populating the clustering ensemble with clusterings based on combinations of fewer features than the original dataset at a time. Our method also calls for prewhitening the recombined data and weighting the influence of each individual clustering by an estimate of its informativeness. We provide code of an example implementation of the algorithm in Matlab and demonstrate its effectiveness compared to ordinary evidence accumulation clustering with synthetic data.?The clustering ensemble is made by clustering on subset combinations of features from the data?The recombined data may be prewhitened?Evidence accumulation can be improved by weighting the evidence with a goodness-of-clustering measure.Development of an effective conservation management strategy for the Indian pangolins (Manis crassicaudata) found in Sri Lanka is hindered due to lack of solid evidence based distribution and ecological data on Indian pangolins. We employed a rapid and cost-effective method based on reliable information by combining primary and secondary data. The method was predominantly based on secondary data from the official records maintained by the government and non-governmental institutions related to wildlife conservation. The primary data collection was carried out depending on the findings from the secondary data sources; i.e. structured interviews and field studies were carried out in the localities that identified from secondary data sources. As a source of primary data, the structured interviews were carried out with stakeholders including the officials of government and nongovernmental institutions, hunters and villagers of the identified localities.?This method allows collecting quick and accurate data on the distribution, habitats and conservation threats for the species.